Barriers to Deprescribing Benzodiazepines in Older Adults in a Survey of European Physicians
Notice bibliographique
Résumé
Importance: The use of benzodiazepine receptor agonists (BZRA) poses serious health risks to older adults. Although several guidelines recommend deprescribing, implementation in clinical practice remains limited. Objective: To identify physicians' barriers to and enablers of deprescribing BZRA in adults aged 65 years and older taking a BZRA for sleep problems; to determine factors associated with hospital physicians' intention to deprescribe BZRA and their self-reported routine BZRA deprescribing. Design, Setting, and Participants: This survey study included hospital physicians and general practitioners (GPs) working across 6 European Countries (Belgium, Greece, Norway, Poland, Spain, and Switzerland) between December 2022 and March 2023. Main Outcomes and Measures: Barriers identification via a 35-item questionnaire based upon the Theoretical Domains Framework (TDF). Responses were categorized as major barriers, moderate barriers, and enablers based on their mean scores. Multivariable logistic regressions were used to identify background characteristics and TDF-based domains associated with hospital physicians' intention to deprescribe and self-reported routine deprescribing. Results: Questionnaires from 240 hospital physicians and 96 GPs were analyzed. Most participants were women: 144 (61.0%) hospital physicians and 52 (54.2%) GPs. In terms of experience, the most common reported time in practice was less than 5 years for hospital physicians (76 [31.7%]) and between 10 and 14 years for GPs (35 [36.5%]). Most reported deprescribing BZRA routinely (135 hospital physicians [57.2%] and 66 GPs [72.5%]). Major barriers (and TDF domains) were similar for hospital physicians and GPs across the 6 countries. These barriers included: lack of training (skills), low self-efficacy (beliefs about capabilities), prioritization of other health issues (goals), frustration with the challenges of deprescribing (emotions), insufficient staff and time, absence of local policies (environmental context and resources), and reluctance from patients (social influence). Intention to deprescribe was significantly associated with country, occupation type, and 5 TDF domains: memory, attention, and decision process (odds ratio [OR], 1.70; 95% Ci, 1.22-2.40); social and/or professional role and identity (OR, 5.92; 95% CI, 3.28-11.07); beliefs about capabilities (OR, 2.35; 95% CI, 1.55-3.63); beliefs about consequences (OR, 3.00; 95% CI, 1.61-5.71); and reinforcement (OR, 1.49; 95% CI, 1.05-2.15). Routine deprescribing was significantly associated with 3 TDF domains: memory, attention, and decision processes; intentions; and emotions. Conclusion: In this theory-based survey study of physicians, physicians and general practitioners described numerous barriers to deprescribing BZRA in older adults. Our findings indicate that effective deprescribing efforts require approaches that address both reflective processes (eg, enhancing capability) and impulsive processes (eg, managing emotions).
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».